Sejati Prima Asmara, Saito Noritaka, Prayitno Yosephus Ardean Kurnianto, Tanaka Koji, Darma Panji Nursetia, Arisato Miku, Nakashima Kunihiko, Takei Masahiro
Department of Mechanical Engineering, Division of Fundamental Engineering, Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan.
Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia.
Sensors (Basel). 2022 Jan 28;22(3):1025. doi: 10.3390/s22031025.
An on-line multi-frequency electrical resistance tomography (ERT) device with a melt-resistive sensor and noise reduction hardware has been proposed for crystalline phase imaging in high-temperature molten oxide. The melt-resistive sensor consists of eight electrodes made of platinum-rhodium (Pt-20mass%Rh) alloy covered by non-conductive aluminum oxide (AlO) to prevent an electrical short. The noise reduction hardware has been designed by two approaches: (1) total harmonic distortion (THD) for the robust multiplexer, and (2) a current injection frequency pair: low fL and high fH, for thermal noise compensation. THD is determined by a percentage evaluation of th harmonic distortions of ZnO at f=0.110,000 Hz. The fL and fH are determined by the thermal noise behavior estimation at different temperatures. At f <100 Hz, the THD percentage is relatively high and fluctuates; otherwise, THD dramatically declines, nearly reaching zero. At the determined fL≥ 10,000 Hz and fH≈ 1,000,000 Hz, thermal noise is significantly compensated. The on-line ERT was tested in the experiments of a non-conductive AlO rod dipped into conductive molten zinc-borate (60ZnO-40BO) at 10001200 °C. As a result, the on-line ERT is able to reconstruct the AlO rod inclusion images in the high-temperature fields with low error, ςfL, T = 5.99%, at 1000 °C, and an average error ⟨ςfL⟩ = 9.2%.
一种带有熔体电阻传感器和降噪硬件的在线多频电阻层析成像（ERT）设备已被提出用于高温熔融氧化物中的晶相成像。熔体电阻传感器由八个由铂铑（Pt-20质量%Rh）合金制成的电极组成，电极被非导电氧化铝（AlO）覆盖以防止电气短路。降噪硬件通过两种方法设计：（1）用于稳健多路复用器的总谐波失真（THD），以及（2）一对电流注入频率：低fL和高fH，用于热噪声补偿。THD通过对f = 0.110,000 Hz时ZnO的谐波失真进行百分比评估来确定。fL和fH通过不同温度下的热噪声行为估计来确定。在f<100 Hz时，THD百分比相对较高且波动；否则，THD急剧下降，几乎达到零。在确定的fL≥10,000 Hz和fH≈1,000,000 Hz时，热噪声得到显著补偿。在线ERT在10001200°C下将非导电AlO棒浸入导电熔融硼酸锌（60ZnO-40B2O3）的实验中进行了测试。结果表明，在线ERT能够在高温场中以低误差重建AlO棒夹杂物图像，在1000°C时，ςfL,T = 5.99%，平均误差⟨ςfL⟩ = 9.2%。
